Title :
Image segmentation based on rough membership function
Author :
Min, Dong ; Xiangpeng, Li ; Li, Wang
Author_Institution :
Dept. of Math. & Phys., Wuhan Univ., China
Abstract :
A new thresholding algorithm and its multi-threshold extension are presented to improve the performance of image segmentation. The probabilistic rough set is used to describe the objects and backgrounds in image. The optimal threshold is given through a minimum boundary criterion. A new rough membership function is defined in the light of requirements of image thresholding.
Keywords :
image segmentation; rough set theory; image segmentation; image thresholding algorithm; minimum boundary criterion; optimal threshold; probabilistic rough set; rough membership function; Image analysis; Image processing; Image segmentation; Information analysis; Mathematics; Physics; Probability; Set theory; Statistical analysis; Testing; Image thresholding; Minimum boundary criterion; Optimal threshold; Probabilistic rough set; Rough membership function;
Conference_Titel :
Granular Computing, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9017-2
DOI :
10.1109/GRC.2005.1547253
